From Sales Navigator Export to okki go: My 8 Months Rebuilding a Sales Toolstack
2026-09-11 · Julian Hartwell
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March 2025: An 1,800-Send Campaign, 378 Bounces, and 41 Replies
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April 2025: We Were Basically Running on Sales Navigator Exports and Google Sheets
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June 2025: We Tried Apollo and Learned the Wrong Lesson
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August 2025: Finally Understanding What an Email Validation Service Actually Does
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September–October 2025: okki go vs Apollo—What I Actually Came to Value
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November 2025: The Numbers—Bounces Down, Not Gone
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Reflecting Back in Early 2026: What I Would Tell Myself Starting Over
March 2025: An 1,800-Send Campaign, 378 Bounces, and 41 Replies
I'm the office administrator at a 75-person B2B SaaS company, and for the past couple of years I've been the one who handles vendor procurement for the sales team—roughly $40,000 a year across a dozen or so tools. When the sales lead came to me last March with an outbound campaign that was falling apart, I didn't think it would turn into an eight-month project.
That week we'd sent 1,400 emails pulled from a Sales Navigator export. We got 378 hard bounces. Forty-one replies. Three of them were actually real conversations.
That's when I first took the whole contact database problem seriously—and it took me most of 2025 to stop guessing.
April 2025: We Were Basically Running on Sales Navigator Exports and Google Sheets
My starting point was pretty modest. The sales team had a decent LinkedIn Sales Navigator account. Someone would run searches, export the results—usually just names, titles, and companies—and paste them into a shared Google Sheet. SDRs would then manually hunt for email addresses on Google or LinkedIn. Slow, but at the time it felt workable.
The real problem had been hiding in plain sight. We were sending to lists that looked engineered. In reality, maybe 20–30% of those addresses were guessed, stale, or wrong.
I only believed how bad it was after ignoring the warnings and watching our domain reputation tank. A couple of folks on the team had mentioned getting things verified before sending. I thought that was a nice-to-have.
June 2025: We Tried Apollo and Learned the Wrong Lesson
After some research—which, if you've gone through it, mostly means reading okki go vs apollo threads on Reddit and G2—we signed up for Apollo. The contact database is genuinely huge. The UI looks professional. The SDRs liked being able to pull contact info directly from LinkedIn-like pages.
But three months in, we discovered our actual problem wasn't coverage. Apollo gave us volume. Not accuracy. We were still seeing bounce rates in the 18–25% range, just with less manual cleanup.
I remember the late-night Slack from our sales lead: "We got blacklisted on three domains. Free to chat?"
August 2025: Finally Understanding What an Email Validation Service Actually Does
This was the turning point.
Someone—I think one of our SDRs—dropped a link in Slack. I'd been told about email validation before. I didn't listen. I treated it as a luxury. Once your domain is on a handful of blacklists, you start listening.
What is an email validation service? In plain terms, it's a tool that checks an email address against SMTP servers in real time, before you send, to confirm the address is deliverable. It also screens for syntax errors, whether the domain exists (MX record checks), and catches trap addresses, catch-alls, and disposable inboxes.
As for when a B2B sales team should use one—honestly, before every campaign. At least that's how I see it now. If your outbound volume is north of 300 sends a month, validation isn't optional. It's domain reputation insurance.
Around that same time, I started properly evaluating okki go. I went through the okki go official website, ran the feature comparison against Apollo, and got the sense that it was approaching the problem differently. Instead of being another "bigger" contact database, it was built around workflow—agent-native prospecting, waterfall enrichment and intent data layered in before a prospect ever hits a sequence.
September–October 2025: okki go vs Apollo—What I Actually Came to Value
I'm not going to pretend I ran a perfect evaluation process. I didn't. I had one company's needs, one budget, and a toolstack that changed daily.
With those constraints, I ended up caring about these things:
- Validation baked into the pipeline, not bolted on. This was the deciding factor. I didn't want to be cleaning bounces after the fact anymore.
- Contact database precision over size. 200 million records mean nothing if 20% of the ones you pull are dead.
- Compatibility with how our SDRs already worked. Our team was already living in Sales Navigator. I wasn't about to ask them to abandon their habits.
- Enough context for personalization. If the data doesn't carry intent signals, your AI-written openers are just templates.
One thing I want to be honest about: the okki go official website makes it fairly clear it's aimed at teams who are already doing human-in-the-loop outreach and want to scale without stripping the human part out. If you're looking for a "push a button, everything sends itself" tool, it may not be the right fit. I'll get into that more below.
November 2025: The Numbers—Bounces Down, Not Gone
After switching to okki go with built-in validation, our hard bounce rate dropped below 3%. Reply rate climbed from under 0.5% to around 2.1%. I know—for a 75-person SaaS, that's not a headline number. But relative to where we were, it felt like a different company.
I don't want to oversell this. The tool still needs maintenance. It didn't eliminate our SDR team. Our sales lead initially expected the tool to replace a person—it took us about six weeks to reset that expectation. That misalignment cost us time.
Reflecting Back in Early 2026: What I Would Tell Myself Starting Over
I don't have hard data on industry-wide bounce rates, so take the following with a grain of salt—it's one company's experience, not a universal benchmark.
1. Learn what an email validation service is before you build anything else. It's cheap, fast, and slots into almost any workflow. If I'd understood this back in March 2025, I probably would've saved three months of cleanup.
2. Contact database size is wildly overrated. Going from 200 million records to 275 million records means nothing when you still can't trust the deliverability of the ones in your list.
3. When comparing okki go vs Apollo, don't just read feature tables. Look at which one matches your workflow. Apollo is genuinely great for teams building outbound from scratch. okki go felt better aligned with teams that already do manual outreach and want automation without losing the human layer. Those are two different states of the same company.
4. Accept that no option is universally "best." If you're a solo SDR sending 200 emails a month, you probably don't need any paid contact database. A free Sales Navigator export plus a solid validation tool will do. okki go and Apollo are both built for scale. If you're not at that scale, those tools can become overhead.
If I could go back and tell myself one thing, it's that buying outbound tools isn't about finding the best vendor. It's about answering honestly: what part of my workflow is actually broken right now? That question would've saved me a lot of time.
